Mecanum Wheel Intelligent Vehicle Racing Research based on CH32V103R8T6

In this paper, based on the background of the 16th National University Students Intelligent Car Race, using CH32V103RST6 as the microcontroller, MT9V034 camera as the main sensor, and DRVS701E driver design scheme, the application of PID algorithm, fuzzy control and OTSU image binarization processing to realize the Mecanum wheel intelligent vehicle tracking. The experimental results and actual competition show that the control scheme has high stability and flexibility, and can achieve high-speed trailing driving with an average speed of 2.0m/s.